[R] lme funcion in R

[ONKELINX, Thierry]

Dear Harry,

Your model seems rather complex. Do you have enough data to support it?
Did you check for multicollinearity between the variables?

HTH,

Thierry
 


------------------------------------------------------------------------
----
ir. Thierry Onkelinx
Instituut voor natuur- en bosonderzoek / Research Institute for Nature
and Forest
Cel biometrie, methodologie en kwaliteitszorg / Section biometrics,
methodology and quality assurance
Gaverstraat 4
9500 Geraardsbergen
Belgium
tel. + 32 54/436 185
Thierry.Onkelinx at inbo.be
www.inbo.be

To call in the statistician after the experiment is done may be no more
than asking him to perform a post-mortem examination: he may be able to
say what the experiment died of.
~ Sir Ronald Aylmer Fisher

The plural of anecdote is not data.
~ Roger Brinner

The combination of some data and an aching desire for an answer does not
ensure that a reasonable answer can be extracted from a given body of
data.
~ John Tukey

-----Oorspronkelijk bericht-----
Van: r-help-bounces at r-project.org [mailto:r-help-bounces at r-project.org]
Namens Hongwei Dong
Verzonden: maandag 3 augustus 2009 19:45
Aan: r-help at r-project.org
Onderwerp: Re: [R] lme funcion in R

Thanks for the replies above. Here are my script and data structure:
library(nlme)
tlevel<-lme(fixed = LN_unitlandval ~
MH_D+APT_D+ResOth_D+NonRes_D+Vacant_D+access_emp1+pct_vacant+transit_D+p
ark_dum,data=lusdrdata,random
= ~MH_D+APT_D+ResOth_D+NonRes_D+Vacant_D | TAZ)

str:

$ TAZ : int 100 100 100 100 100 100 100 100 100 100 ...
$ MH_D : num 0 0 0 0 0 0 0 0 0 0 ...
$ APT_D : num 0 0 0 0 0 0 0 0 0 0 ... $ ResOth_D : num 0 0 0 0 0 0 0 0 0
0 ... $ NonRes_D : num 0 0 0 0 0 0 0 0 0 1 ...
$ Vacant_D : num 1 1 1 0 0 1 1 1 1 0 ...
$ access_emp1 : num 45.8 45.8 45.8 45.8 45.8 ...
$ pct_vacant : num 0.8 0.8 0.8 0.8 0.8 0.8 0.8 0.8 0.8 0.8 ... $
transit_D :
num 0 0 0 0 0 0 0 0 0 0 ... $ park_dum : num 0 0 0 0 0 0 0 0 0 0 ...


Thanks.

Harry



On Mon, Aug 3, 2009 at 10:36 AM, Jason Morgan <jwm-r-help at skepsi.net>
wrote:

> On 2009.08.03 10:15:46, Hongwei Dong wrote:
> > Hi, R users,
> >   I'm using the "lme" function in R to estimate a 2 level mixed 
> > effects model, in which the size of the subject groups are 
> > different. It turned
> out
> > that It takes forever for R to converge. I also tried the same thing

> > in
> SPSS
> > and SPSS can give the results out within 20 minutes. Anyone can give

> > me
> some
> > advice on the lme function in R, especially why R does not converge?
> Thanks.
> >
> > Harry
>
> Hello Harry,
>
> As Chuck mentions, providing some more information on the model and 
> the data you are using would be helpful. Also, be sure to compare the 
> optimization methods used in SPSS to that used in R. You can change 
> the optimization method in R if the default seems to be causing 
> issues. See help(lmeControl) for numerous setting options.
>
> ~Jason
>
> --
> Jason W. Morgan
> Graduate Student
> Department of Political Science
> *The Ohio State University*
> 154 North Oval Mall
> Columbus, Ohio 43210
>
>

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